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Oger toolbox

About the toolbox

The OrGanic Environment for Reservoir computing (Oger) toolbox is a Python toolbox, released under the LGPL, for rapidly building, training and evaluating modular learning architectures on large datasets. It builds functionality on top of the Modular toolkit for Data Processing (MDP). Using MDP, Oger provides:

Easily building, training and using modular structures of learning algorithms

A wide variety of state-of-the-art machine learning methods, such as PCA, ICA, SFA, RBMs, ... You can find the full list here.